Modeling machining energy consumption including the effect of toolpath

Abstract It's important to accurately and effectively estimate the overall machining energy consumption so as to compare and select the toolpath that uses the least amount of energy. To this end, a framework to model the energy consumption when machining a workpiece is proposed in this paper. This framework consists of a toolpath planning stage and an energy-modeling stage. The proposed framework is demonstrated using a sample workpiece. The results show that the framework is effective in estimating the machining energy consumption and identifying the optimal toolpath. The framework represents an important method for identifying robust decisions for energy efficiency improvement. © 2020 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license ( http://creativecommons.org/licenses/by-nc-nd/3.0/ ). Peer-review under responsibility of the scientific committee of the 27th CIRP Life Cycle Engineering (LCE) Conference.

[1]  Li Li,et al.  Impact of surface machining complexity on energy consumption and efficiency in CNC milling , 2019, The International Journal of Advanced Manufacturing Technology.

[2]  Doo-Hwan Bae,et al.  High-level Petri net for incremental analysis of object-oriented system requirements , 2001, IEE Proc. Softw..

[3]  Tao Wu,et al.  Analysis and estimation of energy consumption for numerical control machining , 2012 .

[4]  Doo-Hwan Bae,et al.  Software modeling and analysis using a hierarchical object-oriented Petri net , 2000, Inf. Sci..

[5]  Ryuta Sato,et al.  Optimal workpiece orientation to reduce the energy consumption of a milling process , 2015 .

[6]  Yan He,et al.  Modeling Method for Flexible Energy Behaviors in CNC Machining Systems , 2018 .

[7]  Duck Bong Kim,et al.  Developing a virtual machining model to generate MTConnect machine-monitoring data from STEP-NC , 2016 .

[8]  Przemyslaw Grzegorzewski.  The inclusion-exclusion principle for IF-events , 2011, Inf. Sci..

[9]  Hakkı Özgür Ünver,et al.  Modelling and optimization of energy consumption for feature based milling , 2016 .

[10]  Ying Liu,et al.  Experimental study on energy consumption of computer numerical control machine tools , 2016 .

[11]  Chen Peng,et al.  Minimising the machining energy consumption of a machine tool by sequencing the features of a part , 2017 .

[12]  Paul Mativenga,et al.  Critical factors in energy demand modelling for CNC milling and impact of toolpath strategy , 2014 .

[13]  Paul K. Wright,et al.  Green Manufacturing and Sustainable Manufacturing Partnership Title Software-based tool path evaluation for environmental sustainability , 2011 .

[14]  Hamid Noori,et al.  A new methodology for evaluating sustainable product design performance with two-stage network data envelopment analysis , 2012, Eur. J. Oper. Res..

[15]  José A. Oliveira-Lima,et al.  Energy consumption awareness in manufacturing and production systems , 2017, Int. J. Comput. Integr. Manuf..

[16]  Ying Liu,et al.  Therblig-embedded value stream mapping method for lean energy machining , 2017 .

[17]  Ratna Babu Chinnam,et al.  An energy modeling and evaluation approach for machine tools using generalized stochastic Petri Nets , 2016 .